Supporting Data and Code for "Managing to Climatology: Improving semi-arid agricultural risk management using crop models and a dense meteorological network"
Authors/Creators
- 1. Agricultural Research Service
- 2. Texas Tech University
Description
Without reliable seasonal climate forecasts, farmers and managers in other weather-sensitive sectors might adopt practices that are optimal for recent climate conditions. To demonstrate this principle, crop simulation models driven by a dense meteorological network were used to identify climate-optimal planting dates for U.S. Southern High Plains (SHP) un-irrigated agriculture. This method converted large samples of SHP growing season weather outcomes into climate-representative cotton and sorghum yield distributions over a range of planting dates. Best planting dates were defined as those that maximized median cotton lint (April 24) and sorghum grain (July 1) yields. Those optimal yield distributions were then converted into corresponding profit distributions reflecting 2005-2019 commodity prices and fixed production costs. Both crop's profitability under variable price conditions and current SHP climate conditions were then compared based on median profits and loss probability, and through stochastic dominance analyses that assumed a slightly risk-averse producer.
Notes
Supporting Material for: "Managing to Climatology: Improving semi-arid agricultural risk management using crop models and a dense meteorological network"
1: Computing and software requirements
These scripts and associated fortran programs were run in a OSX (10.14.5) C-Shell command line environment.
The plotting scripts require Generic Mapping Tools (GMT: https://www.soest.hawaii.edu/gmt/)
The executables for the fortran source code is included. If they don't work on your Unix-like platform you
will need to compile them. Because the simulated yield data is stored in two netcdf files you will also have to
install and link with the netcdf software library. A makefile is included but would only work if you are running
Absoft Fortran ver 2018.0 and netcdf 4. Even then (in my experience) its unlikely that everything would compile
and work as is. Otherwise, the makefile can used as a template for whatever Unix platform you are using.
If you just want to see the output of the fortran programs, it is contained in the various log files
that are included, i.e.,
Fig3abcd.log
Fig3efgh.log
Fig4a.log
Fig4b.log
Fig5a.log
Fig5b.log
Fig6ab.log
Fig6cd.log
Fig7.log
calc_CvsS_sdrf.11.25.0.000.0.0003.log (For Fig. 8a)
calc_CvsS_sdrf.32.25.0.000.0.0003.log (For Fig. 8b)
mo_names.out
The weather data necessary to plot two of the the paper's figures (Fig. 5c) can't be re-distributed per
an agreement with Texas Tech University.
Each script plots via the OSX Preview utility.
CONTENTS
2: program_flow.ppt Powerpoint file.
Illustrates the association between scripts,input files, fortran programs, output files and GMT utilities.
3: Plotting Scripts
PLTFIG2MAP.scr
PLTFIG3abcd.scr
PLTFIG3efgh.scr
PLTFIG4a.scr
PLTFIG4b.scr
PLTFIG5a.scr
PLTFIG5b.scr
PLTFIG6ab.scr
PLTFIG6cd.scr
PLTFIG7.scr
PLTFIG8a.scr
PLTFIG8b.scr
CALC_CvsS_SDRF.scr
CALC_COT_KWALLIS.scr
CALC_SOR_KWALLIS.scr
4: Simulated Rainfed Cotton and Sorghum yields in netcdf files.
SCYIELD.PDATE.NC (DSSAT CROPGRO-Cotton simulations 21 Stations X 12 Years)
SRYIELD.PDATE2.NC (DSSAT CERES-Sorghum simulations 21 Stations X 12 Years)
5: Other data files.
cCosts.dat -- Dryland cotton production costs
sCosts.dat -- Dryland sorghum production costs
NASS_Prices_2000-2019.log -- NASS Texas monthly cotton and sorghum prices
nasslint_dists.txt -- NASS Dist 11 & 12 dryland cotton yield survey percentiles
nass_sgx_dists.txt -- NASS Dist 11 & 12 dryland sorghum yield survey percentiles
6: Fortran source code.
calc_CvsS_ploss.f
calc_CvsS_sdrf.f
calc_allcotyld.f
calc_allsoryld.f
calc_cot_pft.f
calc_sor_pft.f
plt_sdrf.f
dhbarf4.f Generates GMT input files for drawing horizontal bar plots
dvbarf4.f Generates GMT input files for drawing vertical bar plots
Files
QOpen-2021-013-Supplement.zip
Files
(13.3 MB)
| Name | Size | Download all |
|---|---|---|
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md5:cf34ef9bf2c7905f98d77b6be16f2f47
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Additional details
Related works
- Is source of
- 10.5061/dryad.37pvmcvfx (DOI)